Who teaches AI agents after they go live? - Syllotips Round Table
Who teaches AI agents after they go live?
A Syllotips Round Table · Side event of Wave by Vento 2026, OGR Torino
📅 Friday, 9 October · 10:00–11:00
👥 Limited to 19 participants · registration subject to approval
Deploying an AI agent is the easy part. Keeping it reliable once it meets real customers, edge cases and changing processes is the hard part. And it's the part most enterprises haven't figured out yet.
This is a closed-door peer discussion, hosted by Giorgio Barnabò, CEO & Co-Founder of Syllotips, about what happens after go-live. Who notices when an agent gets something wrong? Who resolves the ambiguity? And how does the knowledge of your best experts end up shaping how the agent behaves?
What we'll explore:
Micro-contexting: shaping agent behavior through evolving, targeted context instead of retraining models
Continuous improvement loops: detecting mistakes and resolving ambiguity systematically, not case by case
Expert feedback as governed memory: capturing what subject-matter experts know and turning it into knowledge the agent can reliably use
Speed vs. control: balancing fast iteration with accountability and human oversight
Who it's for: CIOs, CTOs, CDOs, and leaders in AI, data, customer experience and operations who are running AI agents in production, or getting ready to.